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Network Science with Python

You're reading from   Network Science with Python Explore the networks around us using network science, social network analysis, and machine learning

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781801073691
Length 414 pages
Edition 1st Edition
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Author (1):
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David Knickerbocker David Knickerbocker
Author Profile Icon David Knickerbocker
David Knickerbocker
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Table of Contents (17) Chapters Close

Preface 1. Part 1: Getting Started with Natural Language Processing and Networks
2. Chapter 1: Introducing Natural Language Processing FREE CHAPTER 3. Chapter 2: Network Analysis 4. Chapter 3: Useful Python Libraries 5. Part 2: Graph Construction and Cleanup
6. Chapter 4: NLP and Network Synergy 7. Chapter 5: Even Easier Scraping! 8. Chapter 6: Graph Construction and Cleaning 9. Part 3: Network Science and Social Network Analysis
10. Chapter 7: Whole Network Analysis 11. Chapter 8: Egocentric Network Analysis 12. Chapter 9: Community Detection 13. Chapter 10: Supervised Machine Learning on Network Data 14. Chapter 11: Unsupervised Machine Learning on Network Data 15. Index 16. Other Books You May Enjoy

Creating a graph from an edge list

We are going to be using this file as our original edge list: https://raw.githubusercontent.com/itsgorain/datasets/main/networks/alice/edgelist_alice_original.csv. Let’s take a look:

  1. Before we can create our graph, we must import the two libraries we will be working with: pandas and networkx. We use pandas to read the edge list into a DataFrame, and we pass that DataFrame to networkx to create a graph. You can import both like so:
    import pandas as pd
    import networkx as nx
  2. With the libraries imported, let’s use pandas to read the CSV file into a DataFrame and then display it, as shown in the following code block:
    data = 'https://raw.githubusercontent.com/itsgorain/datasets/main/networks/alice/edgelist_alice_original.csv'
    network_df = pd.read_csv(data)
    network_df.head()

If you run this in a Jupyter notebook, you should see the following DataFrame:

Figure 6.1 – pandas DataFrame of the Alice in Wonderland edgelist

Figure 6.1 – pandas DataFrame of...

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